Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Prostate Cancer Progression Modeling Provides Insight into Dynamic Molecular Changes Associated with Progressive Disease States

30 Sept 2024

Abstract excerpt

Prostate cancer is a significant health concern and the most commonly diagnosed cancer in men worldwide. Understanding the complex process of prostate tumor evolution and progression is crucial for improved diagnosis, treatments, and patient outcomes. Previous studies have focused on unraveling the dynamics of prostate cancer evolution using phylogenetic or lineage analysis approaches. However, those approaches...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer Genomics and Diagnostics
Share to Prostate Cancer Diagnosis and Treatment
Share to Prostate Cancer Treatment and Research

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 39347576
DOI: 10.1158/2767-9764.crc-24-0210

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 20 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Prostate Cancer Progression Modeling Provides Insight into Dynamic Molecular Changes Associated with Progressive Disease StatesPMID 39347576Read ↗

The Transcriptomic Landscape of Prostate Cancer Development and Progression: An Integrative AnalysisSemantic proximity Read ↗

INTEGRATIVE BIOLOGY OF PROSTATE CANCER PROGRESSIONSemantic proximity Read ↗

Whole-genome and Transcriptome Sequencing of Prostate Cancer Identify New Genetic Alterations Driving Disease ProgressionSemantic proximity Read ↗

Genomic evolution shapes prostate cancer disease type.Semantic proximity Read ↗

Dynamic prostate cancer transcriptome analysis delineates the trajectory to disease progressionSemantic proximity Read ↗

Tumor architecture and emergence of strong genetic alterations are bottlenecks for clonal evolution in primary prostate cancer.Semantic proximity Read ↗

The genomic landscape of prostate cancerSemantic proximity Read ↗

A single-cell and spatial atlas of prostate cancer reveals the combinatorial nature of gene modules underlying lineage plasticity and metastasisSemantic proximity Read ↗

Clinical variability and molecular heterogeneity in prostate cancerSemantic proximity Read ↗

Single-Cell RNA-seq Reveals a Developmental Hierarchy Super-Imposed Over Subclonal Evolution in the Cellular Ecosystem of Prostate Cancer.Semantic proximity Read ↗

Tumor subtype defines distinct pathways of molecular and clinical progression in primary prostate cancerSemantic proximity Read ↗

The Evolutionary Landscape of Localized Prostate Cancers Drives Clinical Aggression.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.